Machine Learning Models Now Predict Movie Preferences and Psychological Profiles With 93% Accuracy From Behavioral Data

Breakthrough research in 2026 demonstrates that artificial intelligence can accurately predict an individual's movie preferences and psychological characteristics by analyzing behavioral data, raising questions about how companies may use such insights to profile users. University of East London researchers reported that machine learning models achieved 93% accuracy in predicting DISC personality types—which classify people into four behavioral styles: Dominance, Influence, Steadiness, and Conscientiousness—using survey responses from over 1,000 participants. Notably, the AI identified not just single-category personality types but also blended behavioral patterns when individuals exhibited traits spanning multiple styles. A more practical 10-question version retained 91% accuracy compared to the standard 40-question assessment, making personality evaluation both faster and more flexible.